Overview

Dataset statistics

Number of variables53
Number of observations974
Missing cells647
Missing cells (%)1.3%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory407.2 KiB
Average record size in memory428.1 B

Variable types

Numeric3
Categorical41
Text8
DateTime1

Alerts

water12 has constant value ""Constant
water13 has constant value ""Constant
water14 has constant value ""Constant
water18 has constant value ""Constant
water19 has constant value ""Constant
water20 has constant value ""Constant
water21 has constant value ""Constant
water22 has constant value ""Constant
water26 has constant value ""Constant
water27 has constant value ""Constant
water28 has constant value ""Constant
water29 has constant value ""Constant
water30 has constant value ""Constant
water31 has constant value ""Constant
water32 has constant value ""Constant
water33 has constant value ""Constant
water35 has constant value ""Constant
last_load_dttm has constant value ""Constant
Dataset has 2 (0.2%) duplicate rowsDuplicates
water01 is highly imbalanced (76.6%)Imbalance
water06 is highly imbalanced (59.6%)Imbalance
water07 is highly imbalanced (70.4%)Imbalance
water08 is highly imbalanced (89.5%)Imbalance
water09 is highly imbalanced (90.4%)Imbalance
water10 is highly imbalanced (66.6%)Imbalance
water11 is highly imbalanced (96.8%)Imbalance
water15 is highly imbalanced (98.8%)Imbalance
water16 is highly imbalanced (87.2%)Imbalance
water17 is highly imbalanced (65.9%)Imbalance
water23 is highly imbalanced (98.8%)Imbalance
water24 is highly imbalanced (98.8%)Imbalance
water25 is highly imbalanced (98.8%)Imbalance
water36 is highly imbalanced (77.5%)Imbalance
water37 is highly imbalanced (78.5%)Imbalance
water38 is highly imbalanced (77.3%)Imbalance
water39 is highly imbalanced (72.8%)Imbalance
water43 is highly imbalanced (85.3%)Imbalance
water47 is highly imbalanced (69.8%)Imbalance
water04 has 563 (57.8%) missing valuesMissing
water41 has 79 (8.1%) missing valuesMissing

Reproduction

Analysis started2024-04-16 22:09:57.660001
Analysis finished2024-04-16 22:09:58.455422
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

inspec_yy
Real number (ℝ)

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.3973
Minimum2010
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2024-04-17T07:09:58.496863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2010
Q12011
median2013
Q32014
95-th percentile2020
Maximum2020
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0894897
Coefficient of variation (CV)0.001534466
Kurtosis0.4854411
Mean2013.3973
Median Absolute Deviation (MAD)1
Skewness1.2459919
Sum1961049
Variance9.5449466
MonotonicityNot monotonic
2024-04-17T07:09:58.581019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2012 192
19.7%
2013 186
19.1%
2014 185
19.0%
2020 150
15.4%
2010 134
13.8%
2011 127
13.0%
ValueCountFrequency (%)
2010 134
13.8%
2011 127
13.0%
2012 192
19.7%
2013 186
19.1%
2014 185
19.0%
2020 150
15.4%
ValueCountFrequency (%)
2020 150
15.4%
2014 185
19.0%
2013 186
19.1%
2012 192
19.7%
2011 127
13.0%
2010 134
13.8%

inspec_qt
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2
824 
1
150 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 824
84.6%
1 150
 
15.4%

Length

2024-04-17T07:09:58.676684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:09:58.762195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 824
84.6%
1 150
 
15.4%

inspec_area
Categorical

Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
부산진구
138 
동구
99 
금정구
98 
해운대구
91 
사상구
90 
Other values (10)
458 

Length

Max length4
Median length3
Mean length2.9250513
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동구
2nd row동래구
3rd row동래구
4th row동래구
5th row동래구

Common Values

ValueCountFrequency (%)
부산진구 138
14.2%
동구 99
10.2%
금정구 98
10.1%
해운대구 91
9.3%
사상구 90
9.2%
남구 84
8.6%
북구 69
7.1%
사하구 64
6.6%
영도구 61
6.3%
동래구 55
 
5.6%
Other values (5) 125
12.8%

Length

2024-04-17T07:09:58.842057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산진구 138
14.2%
동구 99
10.2%
금정구 98
10.1%
해운대구 91
9.3%
사상구 90
9.2%
남구 84
8.6%
북구 69
7.1%
사하구 64
6.6%
영도구 61
6.3%
동래구 55
 
5.6%
Other values (5) 125
12.8%
Distinct335
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2024-04-17T07:09:59.090141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.1837782
Min length1

Characters and Unicode

Total characters4075
Distinct characters199
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)10.9%

Sample

1st row청조약수터
2nd row금강1
3rd row금강2
4th row금병
5th row대덕사
ValueCountFrequency (%)
약수터 37
 
3.4%
대신공원 31
 
2.8%
만수정 15
 
1.4%
태종대 15
 
1.4%
용머리 12
 
1.1%
옥천 12
 
1.1%
승학 8
 
0.7%
체육공원 8
 
0.7%
청수 8
 
0.7%
이기대 7
 
0.6%
Other values (323) 941
86.0%
2024-04-17T07:09:59.445207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
389
 
9.5%
268
 
6.6%
256
 
6.3%
144
 
3.5%
120
 
2.9%
114
 
2.8%
102
 
2.5%
101
 
2.5%
94
 
2.3%
89
 
2.2%
Other values (189) 2398
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3831
94.0%
Space Separator 120
 
2.9%
Decimal Number 61
 
1.5%
Open Punctuation 30
 
0.7%
Close Punctuation 30
 
0.7%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
389
 
10.2%
268
 
7.0%
256
 
6.7%
144
 
3.8%
114
 
3.0%
102
 
2.7%
101
 
2.6%
94
 
2.5%
89
 
2.3%
81
 
2.1%
Other values (180) 2193
57.2%
Decimal Number
ValueCountFrequency (%)
2 29
47.5%
1 28
45.9%
4 4
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3831
94.0%
Common 241
 
5.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
389
 
10.2%
268
 
7.0%
256
 
6.7%
144
 
3.8%
114
 
3.0%
102
 
2.7%
101
 
2.6%
94
 
2.5%
89
 
2.3%
81
 
2.1%
Other values (180) 2193
57.2%
Common
ValueCountFrequency (%)
120
49.8%
( 30
 
12.4%
) 30
 
12.4%
2 29
 
12.0%
1 28
 
11.6%
4 4
 
1.7%
Latin
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3831
94.0%
ASCII 244
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
389
 
10.2%
268
 
7.0%
256
 
6.7%
144
 
3.8%
114
 
3.0%
102
 
2.7%
101
 
2.6%
94
 
2.5%
89
 
2.3%
81
 
2.1%
Other values (180) 2193
57.2%
ASCII
ValueCountFrequency (%)
120
49.2%
( 30
 
12.3%
) 30
 
12.3%
2 29
 
11.9%
1 28
 
11.5%
4 4
 
1.6%
S 1
 
0.4%
B 1
 
0.4%
K 1
 
0.4%

result
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
적합
544 
부적합
428 
<NA>
 
2

Length

Max length4
Median length2
Mean length2.4435318
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부적합
2nd row적합
3rd row적합
4th row적합
5th row적합

Common Values

ValueCountFrequency (%)
적합 544
55.9%
부적합 428
43.9%
<NA> 2
 
0.2%

Length

2024-04-17T07:09:59.568561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:09:59.647209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 544
55.9%
부적합 428
43.9%
na 2
 
0.2%

water01
Categorical

IMBALANCE 

Distinct38
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
822 
0
 
46
1
 
23
2
 
16
3
 
7
Other values (33)
 
60

Length

Max length4
Median length3
Mean length2.7299795
Min length1

Unique

Unique22 ?
Unique (%)2.3%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 822
84.4%
0 46
 
4.7%
1 23
 
2.4%
2 16
 
1.6%
3 7
 
0.7%
12 6
 
0.6%
5 4
 
0.4%
8 4
 
0.4%
9 4
 
0.4%
4 4
 
0.4%
Other values (28) 38
 
3.9%

Length

2024-04-17T07:09:59.729328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 822
84.4%
0 46
 
4.7%
1 23
 
2.4%
2 16
 
1.6%
3 7
 
0.7%
12 6
 
0.6%
5 4
 
0.4%
8 4
 
0.4%
9 4
 
0.4%
4 4
 
0.4%
Other values (28) 38
 
3.9%
Distinct90
Distinct (%)9.3%
Missing5
Missing (%)0.5%
Memory size7.7 KiB
2024-04-17T07:09:59.908771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8472652
Min length1

Characters and Unicode

Total characters2759
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st row1.8
2nd row6.7
3rd row5.4
4th row0.9
5th row1.0
ValueCountFrequency (%)
불검출 122
 
12.6%
0.8 40
 
4.1%
0.6 38
 
3.9%
0.9 34
 
3.5%
1.2 31
 
3.2%
1.4 31
 
3.2%
1.1 29
 
3.0%
0.4 29
 
3.0%
0.7 29
 
3.0%
검출 28
 
2.9%
Other values (80) 558
57.6%
2024-04-17T07:10:00.195254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 758
27.5%
1 313
11.3%
0 232
 
8.4%
2 232
 
8.4%
4 158
 
5.7%
3 157
 
5.7%
150
 
5.4%
150
 
5.4%
122
 
4.4%
6 114
 
4.1%
Other values (4) 373
13.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1579
57.2%
Other Punctuation 758
27.5%
Other Letter 422
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 313
19.8%
0 232
14.7%
2 232
14.7%
4 158
10.0%
3 157
9.9%
6 114
 
7.2%
7 110
 
7.0%
5 101
 
6.4%
8 92
 
5.8%
9 70
 
4.4%
Other Letter
ValueCountFrequency (%)
150
35.5%
150
35.5%
122
28.9%
Other Punctuation
ValueCountFrequency (%)
. 758
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2337
84.7%
Hangul 422
 
15.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 758
32.4%
1 313
13.4%
0 232
 
9.9%
2 232
 
9.9%
4 158
 
6.8%
3 157
 
6.7%
6 114
 
4.9%
7 110
 
4.7%
5 101
 
4.3%
8 92
 
3.9%
Hangul
ValueCountFrequency (%)
150
35.5%
150
35.5%
122
28.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2337
84.7%
Hangul 422
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 758
32.4%
1 313
13.4%
0 232
 
9.9%
2 232
 
9.9%
4 158
 
6.8%
3 157
 
6.7%
6 114
 
4.9%
7 110
 
4.7%
5 101
 
4.3%
8 92
 
3.9%
Hangul
ValueCountFrequency (%)
150
35.5%
150
35.5%
122
28.9%

water03
Categorical

Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
0.3
593 
불검출
147 
0.32
133 
0.6
82 
0.9
 
11
Other values (5)
 
8

Length

Max length4
Median length3
Mean length3.1344969
Min length2

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0.3
2nd row0.3
3rd row0.3
4th row0.3
5th row0.3

Common Values

ValueCountFrequency (%)
0.3 593
60.9%
불검출 147
 
15.1%
0.32 133
 
13.7%
0.6 82
 
8.4%
0.9 11
 
1.1%
검출 3
 
0.3%
1.3 2
 
0.2%
2.2 1
 
0.1%
2.8 1
 
0.1%
0.95 1
 
0.1%

Length

2024-04-17T07:10:00.302952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:00.399093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.3 593
60.9%
불검출 147
 
15.1%
0.32 133
 
13.7%
0.6 82
 
8.4%
0.9 11
 
1.1%
검출 3
 
0.3%
1.3 2
 
0.2%
2.2 1
 
0.1%
2.8 1
 
0.1%
0.95 1
 
0.1%

water04
Text

MISSING 

Distinct114
Distinct (%)27.7%
Missing563
Missing (%)57.8%
Memory size7.7 KiB
2024-04-17T07:10:00.618125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.5815085
Min length2

Characters and Unicode

Total characters1061
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)10.0%

Sample

1st row119
2nd row108
3rd row127
4th row176
5th row178
ValueCountFrequency (%)
불검출 150
36.5%
83 7
 
1.7%
96 6
 
1.5%
61 6
 
1.5%
65 6
 
1.5%
119 5
 
1.2%
79 5
 
1.2%
42 5
 
1.2%
49 5
 
1.2%
48 5
 
1.2%
Other values (104) 211
51.3%
2024-04-17T07:10:00.927348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
14.1%
150
14.1%
150
14.1%
1 132
12.4%
5 62
5.8%
6 61
5.7%
9 55
 
5.2%
8 54
 
5.1%
3 53
 
5.0%
7 53
 
5.0%
Other values (3) 141
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 611
57.6%
Other Letter 450
42.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 132
21.6%
5 62
10.1%
6 61
10.0%
9 55
9.0%
8 54
8.8%
3 53
8.7%
7 53
8.7%
4 52
 
8.5%
2 52
 
8.5%
0 37
 
6.1%
Other Letter
ValueCountFrequency (%)
150
33.3%
150
33.3%
150
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 611
57.6%
Hangul 450
42.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 132
21.6%
5 62
10.1%
6 61
10.0%
9 55
9.0%
8 54
8.8%
3 53
8.7%
7 53
8.7%
4 52
 
8.5%
2 52
 
8.5%
0 37
 
6.1%
Hangul
ValueCountFrequency (%)
150
33.3%
150
33.3%
150
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 611
57.6%
Hangul 450
42.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
150
33.3%
150
33.3%
150
33.3%
ASCII
ValueCountFrequency (%)
1 132
21.6%
5 62
10.1%
6 61
10.0%
9 55
9.0%
8 54
8.8%
3 53
8.7%
7 53
8.7%
4 52
 
8.5%
2 52
 
8.5%
0 37
 
6.1%
Distinct104
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2024-04-17T07:10:01.125906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length1.6960986
Min length1

Characters and Unicode

Total characters1652
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 216
22.2%
불검출 150
15.4%
1 48
 
4.9%
2 41
 
4.2%
3 35
 
3.6%
4 30
 
3.1%
5 25
 
2.6%
10 25
 
2.6%
6 23
 
2.4%
15 21
 
2.2%
Other values (94) 360
37.0%
2024-04-17T07:10:01.414413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 292
17.7%
1 220
13.3%
150
9.1%
150
9.1%
150
9.1%
2 150
9.1%
3 102
 
6.2%
5 93
 
5.6%
4 92
 
5.6%
6 83
 
5.0%
Other values (3) 170
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1202
72.8%
Other Letter 450
 
27.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 292
24.3%
1 220
18.3%
2 150
12.5%
3 102
 
8.5%
5 93
 
7.7%
4 92
 
7.7%
6 83
 
6.9%
8 65
 
5.4%
9 54
 
4.5%
7 51
 
4.2%
Other Letter
ValueCountFrequency (%)
150
33.3%
150
33.3%
150
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1202
72.8%
Hangul 450
 
27.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 292
24.3%
1 220
18.3%
2 150
12.5%
3 102
 
8.5%
5 93
 
7.7%
4 92
 
7.7%
6 83
 
6.9%
8 65
 
5.4%
9 54
 
4.5%
7 51
 
4.2%
Hangul
ValueCountFrequency (%)
150
33.3%
150
33.3%
150
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1202
72.8%
Hangul 450
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 292
24.3%
1 220
18.3%
2 150
12.5%
3 102
 
8.5%
5 93
 
7.7%
4 92
 
7.7%
6 83
 
6.9%
8 65
 
5.4%
9 54
 
4.5%
7 51
 
4.2%
Hangul
ValueCountFrequency (%)
150
33.3%
150
33.3%
150
33.3%

water06
Categorical

IMBALANCE 

Distinct46
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
457 
검출
370 
1.2
 
9
1
 
9
1.6
 
8
Other values (41)
121 

Length

Max length3
Median length3
Mean length2.5831622
Min length1

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 457
46.9%
검출 370
38.0%
1.2 9
 
0.9%
1 9
 
0.9%
1.6 8
 
0.8%
1.1 7
 
0.7%
1.4 7
 
0.7%
2.4 7
 
0.7%
0.9 6
 
0.6%
0.8 6
 
0.6%
Other values (36) 88
 
9.0%

Length

2024-04-17T07:10:01.539431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 457
46.9%
검출 370
38.0%
1.2 9
 
0.9%
1 9
 
0.9%
1.6 8
 
0.8%
1.1 7
 
0.7%
1.4 7
 
0.7%
2.4 7
 
0.7%
0.9 6
 
0.6%
0.8 6
 
0.6%
Other values (36) 88
 
9.0%

water07
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
762 
0.3
120 
검출
 
66
0.6
 
11
0.4
 
4
Other values (9)
 
11

Length

Max length3
Median length3
Mean length2.9301848
Min length1

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 762
78.2%
0.3 120
 
12.3%
검출 66
 
6.8%
0.6 11
 
1.1%
0.4 4
 
0.4%
0.7 3
 
0.3%
2.9 1
 
0.1%
5.5 1
 
0.1%
9.2 1
 
0.1%
0.8 1
 
0.1%
Other values (4) 4
 
0.4%

Length

2024-04-17T07:10:01.875105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 762
78.2%
0.3 120
 
12.3%
검출 66
 
6.8%
0.6 11
 
1.1%
0.4 4
 
0.4%
0.7 3
 
0.3%
2.9 1
 
0.1%
5.5 1
 
0.1%
9.2 1
 
0.1%
0.8 1
 
0.1%
Other values (4) 4
 
0.4%

water08
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
953 
<NA>
 
16
검출
 
5

Length

Max length4
Median length3
Mean length3.0112936
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 953
97.8%
<NA> 16
 
1.6%
검출 5
 
0.5%

Length

2024-04-17T07:10:01.980584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:02.064285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 953
97.8%
na 16
 
1.6%
검출 5
 
0.5%

water09
Categorical

IMBALANCE 

Distinct19
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
934 
0.24
 
5
0.22
 
4
0.25
 
4
0.21
 
3
Other values (14)
 
24

Length

Max length5
Median length3
Mean length3.0379877
Min length3

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 934
95.9%
0.24 5
 
0.5%
0.22 4
 
0.4%
0.25 4
 
0.4%
0.21 3
 
0.3%
0.17 3
 
0.3%
0.15 3
 
0.3%
0.2 3
 
0.3%
0.16 2
 
0.2%
0.27 2
 
0.2%
Other values (9) 11
 
1.1%

Length

2024-04-17T07:10:02.156953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 934
95.9%
0.24 5
 
0.5%
0.22 4
 
0.4%
0.25 4
 
0.4%
0.21 3
 
0.3%
0.17 3
 
0.3%
0.15 3
 
0.3%
0.2 3
 
0.3%
0.19 2
 
0.2%
0.18 2
 
0.2%
Other values (9) 11
 
1.1%

water10
Categorical

IMBALANCE 

Distinct50
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
752 
0.20
 
20
0.16
 
20
0.2
 
20
0.22
 
13
Other values (45)
149 

Length

Max length5
Median length3
Mean length3.2002053
Min length3

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row0.16
5th row0.21

Common Values

ValueCountFrequency (%)
불검출 752
77.2%
0.20 20
 
2.1%
0.16 20
 
2.1%
0.2 20
 
2.1%
0.22 13
 
1.3%
0.15 13
 
1.3%
0.17 11
 
1.1%
0.18 10
 
1.0%
0.19 9
 
0.9%
0.21 9
 
0.9%
Other values (40) 97
 
10.0%

Length

2024-04-17T07:10:02.287952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 752
77.2%
0.20 20
 
2.1%
0.16 20
 
2.1%
0.2 20
 
2.1%
0.22 13
 
1.3%
0.15 13
 
1.3%
0.17 11
 
1.1%
0.18 10
 
1.0%
0.19 9
 
0.9%
0.21 9
 
0.9%
Other values (40) 97
 
10.0%

water11
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
969 
0.007
 
3
0.008
 
2

Length

Max length5
Median length3
Mean length3.0102669
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 969
99.5%
0.007 3
 
0.3%
0.008 2
 
0.2%

Length

2024-04-17T07:10:02.388726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:02.468671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 969
99.5%
0.007 3
 
0.3%
0.008 2
 
0.2%

water12
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:02.543954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:02.625336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water13
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:02.697727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:02.764739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water14
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:02.834539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:02.900359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water15
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
973 
0.03
 
1

Length

Max length4
Median length3
Mean length3.0010267
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 973
99.9%
0.03 1
 
0.1%

Length

2024-04-17T07:10:02.983750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:03.054745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 973
99.9%
0.03 1
 
0.1%

water16
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
935 
0.01
 
37
0.03
 
1
0.02
 
1

Length

Max length4
Median length3
Mean length3.0400411
Min length3

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 935
96.0%
0.01 37
 
3.8%
0.03 1
 
0.1%
0.02 1
 
0.1%

Length

2024-04-17T07:10:03.127702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:03.204815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 935
96.0%
0.01 37
 
3.8%
0.03 1
 
0.1%
0.02 1
 
0.1%

water17
Categorical

IMBALANCE 

Distinct27
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
743 
0.01
 
62
<NA>
 
47
0.02
 
22
0.03
 
18
Other values (22)
82 

Length

Max length5
Median length3
Mean length3.3151951
Min length3

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 743
76.3%
0.01 62
 
6.4%
<NA> 47
 
4.8%
0.02 22
 
2.3%
0.03 18
 
1.8%
0.012 11
 
1.1%
0.014 11
 
1.1%
0.015 10
 
1.0%
0.016 9
 
0.9%
0.013 7
 
0.7%
Other values (17) 34
 
3.5%

Length

2024-04-17T07:10:03.322377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 743
76.3%
0.01 62
 
6.4%
na 47
 
4.8%
0.02 22
 
2.3%
0.03 18
 
1.8%
0.012 11
 
1.1%
0.014 11
 
1.1%
0.015 10
 
1.0%
0.016 9
 
0.9%
0.013 7
 
0.7%
Other values (17) 34
 
3.5%

water18
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:03.433801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:03.505856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water19
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:03.593763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:03.662816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water20
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:03.731274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:03.796731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water21
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:03.868154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:03.934758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water22
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:04.009677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:04.077998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water23
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
973 
0.002
 
1

Length

Max length5
Median length3
Mean length3.0020534
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 973
99.9%
0.002 1
 
0.1%

Length

2024-04-17T07:10:04.156008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:04.234788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 973
99.9%
0.002 1
 
0.1%

water24
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
973 
0.002
 
1

Length

Max length5
Median length3
Mean length3.0020534
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 973
99.9%
0.002 1
 
0.1%

Length

2024-04-17T07:10:04.322036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:04.400454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 973
99.9%
0.002 1
 
0.1%

water25
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
973 
0.012
 
1

Length

Max length5
Median length3
Mean length3.0020534
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 973
99.9%
0.012 1
 
0.1%

Length

2024-04-17T07:10:04.487116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:04.567497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 973
99.9%
0.012 1
 
0.1%

water26
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:04.641812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:04.707883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water27
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:04.776802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:04.844356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water28
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:04.911888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:04.977782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water29
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:05.048714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:05.112421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water30
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:05.180745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:05.247951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water31
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:05.316844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:05.381873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water32
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:05.451747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:05.517282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water33
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
974 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 974
100.0%

Length

2024-04-17T07:10:05.589594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:05.657860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 974
100.0%

water34
Real number (ℝ)

Distinct116
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.986653
Minimum5
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2024-04-17T07:10:05.734450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11
Q120
median30
Q349
95-th percentile95
Maximum159
Range154
Interquartile range (IQR)29

Descriptive statistics

Standard deviation26.052142
Coefficient of variation (CV)0.68582357
Kurtosis2.4165119
Mean37.986653
Median Absolute Deviation (MAD)12
Skewness1.5486969
Sum36999
Variance678.71411
MonotonicityNot monotonic
2024-04-17T07:10:05.846749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 38
 
3.9%
19 32
 
3.3%
20 32
 
3.3%
23 28
 
2.9%
15 27
 
2.8%
16 26
 
2.7%
18 26
 
2.7%
21 25
 
2.6%
36 24
 
2.5%
13 23
 
2.4%
Other values (106) 693
71.1%
ValueCountFrequency (%)
5 2
 
0.2%
6 3
 
0.3%
7 2
 
0.2%
8 7
 
0.7%
9 10
1.0%
10 10
1.0%
11 16
1.6%
12 15
1.5%
13 23
2.4%
14 22
2.3%
ValueCountFrequency (%)
159 1
 
0.1%
146 1
 
0.1%
145 1
 
0.1%
141 1
 
0.1%
136 2
0.2%
131 1
 
0.1%
127 2
0.2%
126 2
0.2%
124 1
 
0.1%
122 4
0.4%

water35
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
없음
974 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row없음
2nd row없음
3rd row없음
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 974
100.0%

Length

2024-04-17T07:10:05.952510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:06.016445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 974
100.0%

water36
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
없음
824 
불검출
138 
0.011
 
3
0.008
 
3
0.01
 
2
Other values (4)
 
4

Length

Max length5
Median length2
Mean length2.1765914
Min length2

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row없음
2nd row없음
3rd row없음
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 824
84.6%
불검출 138
 
14.2%
0.011 3
 
0.3%
0.008 3
 
0.3%
0.01 2
 
0.2%
0.013 1
 
0.1%
0.009 1
 
0.1%
0.015 1
 
0.1%
0.031 1
 
0.1%

Length

2024-04-17T07:10:06.096814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:10:06.182493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 824
84.6%
불검출 138
 
14.2%
0.011 3
 
0.3%
0.008 3
 
0.3%
0.01 2
 
0.2%
0.013 1
 
0.1%
0.009 1
 
0.1%
0.015 1
 
0.1%
0.031 1
 
0.1%

water37
Categorical

IMBALANCE 

Distinct20
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
794 
1
150 
0.009
 
5
0.010
 
4
0.008
 
3
Other values (15)
 
18

Length

Max length6
Median length3
Mean length2.7525667
Min length1

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 794
81.5%
1 150
 
15.4%
0.009 5
 
0.5%
0.010 4
 
0.4%
0.008 3
 
0.3%
0.01 2
 
0.2%
0.135 2
 
0.2%
0.011 2
 
0.2%
0.02 1
 
0.1%
0.145 1
 
0.1%
Other values (10) 10
 
1.0%

Length

2024-04-17T07:10:06.274453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 794
81.5%
1 150
 
15.4%
0.009 5
 
0.5%
0.010 4
 
0.4%
0.008 3
 
0.3%
0.01 2
 
0.2%
0.135 2
 
0.2%
0.011 2
 
0.2%
0.023 1
 
0.1%
0.018 1
 
0.1%
Other values (10) 10
 
1.0%

water38
Categorical

IMBALANCE 

Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
1
786 
불검출
150 
<NA>
 
23
13
 
1
9
 
1
Other values (13)
 
13

Length

Max length4
Median length1
Mean length1.386037
Min length1

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 786
80.7%
불검출 150
 
15.4%
<NA> 23
 
2.4%
13 1
 
0.1%
9 1
 
0.1%
15 1
 
0.1%
8 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
12 1
 
0.1%
Other values (8) 8
 
0.8%

Length

2024-04-17T07:10:06.367963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 786
80.7%
불검출 150
 
15.4%
na 23
 
2.4%
7 1
 
0.1%
10 1
 
0.1%
6 1
 
0.1%
2 1
 
0.1%
11 1
 
0.1%
16 1
 
0.1%
3 1
 
0.1%
Other values (8) 8
 
0.8%

water39
Categorical

IMBALANCE 

Distinct25
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
824 
6
 
18
6.6
 
16
6.3
 
14
6.5
 
10
Other values (20)
92 

Length

Max length3
Median length3
Mean length2.9404517
Min length1

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 824
84.6%
6 18
 
1.8%
6.6 16
 
1.6%
6.3 14
 
1.4%
6.5 10
 
1.0%
7 10
 
1.0%
6.2 9
 
0.9%
6.8 9
 
0.9%
5.8 9
 
0.9%
6.7 8
 
0.8%
Other values (15) 47
 
4.8%

Length

2024-04-17T07:10:06.465374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 824
84.6%
6 18
 
1.8%
6.6 16
 
1.6%
6.3 14
 
1.4%
6.5 10
 
1.0%
7 10
 
1.0%
6.2 9
 
0.9%
6.8 9
 
0.9%
5.8 9
 
0.9%
6.7 8
 
0.8%
Other values (15) 47
 
4.8%
Distinct60
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2024-04-17T07:10:06.636885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0574949
Min length1

Characters and Unicode

Total characters2978
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)2.0%

Sample

1st row7.8
2nd row7.4
3rd row7.3
4th row7.4
5th row8.0
ValueCountFrequency (%)
7.5 63
 
6.5%
7.4 61
 
6.3%
7.6 60
 
6.2%
7.7 54
 
5.5%
7.2 48
 
4.9%
불검출 47
 
4.8%
7 46
 
4.7%
7.8 42
 
4.3%
6.9 40
 
4.1%
7.3 39
 
4.0%
Other values (50) 474
48.7%
2024-04-17T07:10:06.914943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 855
28.7%
7 581
19.5%
6 363
12.2%
0 300
 
10.1%
8 142
 
4.8%
5 119
 
4.0%
2 107
 
3.6%
4 104
 
3.5%
3 95
 
3.2%
1 86
 
2.9%
Other values (4) 226
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1982
66.6%
Other Punctuation 855
28.7%
Other Letter 141
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 581
29.3%
6 363
18.3%
0 300
15.1%
8 142
 
7.2%
5 119
 
6.0%
2 107
 
5.4%
4 104
 
5.2%
3 95
 
4.8%
1 86
 
4.3%
9 85
 
4.3%
Other Letter
ValueCountFrequency (%)
47
33.3%
47
33.3%
47
33.3%
Other Punctuation
ValueCountFrequency (%)
. 855
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2837
95.3%
Hangul 141
 
4.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 855
30.1%
7 581
20.5%
6 363
12.8%
0 300
 
10.6%
8 142
 
5.0%
5 119
 
4.2%
2 107
 
3.8%
4 104
 
3.7%
3 95
 
3.3%
1 86
 
3.0%
Hangul
ValueCountFrequency (%)
47
33.3%
47
33.3%
47
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2837
95.3%
Hangul 141
 
4.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 855
30.1%
7 581
20.5%
6 363
12.8%
0 300
 
10.6%
8 142
 
5.0%
5 119
 
4.2%
2 107
 
3.8%
4 104
 
3.7%
3 95
 
3.3%
1 86
 
3.0%
Hangul
ValueCountFrequency (%)
47
33.3%
47
33.3%
47
33.3%

water41
Text

MISSING 

Distinct221
Distinct (%)24.7%
Missing79
Missing (%)8.1%
Memory size7.7 KiB
2024-04-17T07:10:07.208111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.1284916
Min length1

Characters and Unicode

Total characters3695
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)15.3%

Sample

1st row0.013
2nd row0.016
3rd row0.013
4th row불검출
5th row0.003
ValueCountFrequency (%)
불검출 282
31.5%
0.004 37
 
4.1%
0.003 35
 
3.9%
0.005 28
 
3.1%
0.006 26
 
2.9%
0.002 22
 
2.5%
0.008 19
 
2.1%
0.01 18
 
2.0%
0.009 18
 
2.0%
0.011 17
 
1.9%
Other values (211) 393
43.9%
2024-04-17T07:10:07.601321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1194
32.3%
. 602
16.3%
282
 
7.6%
282
 
7.6%
282
 
7.6%
1 229
 
6.2%
8 119
 
3.2%
2 116
 
3.1%
7 114
 
3.1%
3 112
 
3.0%
Other values (4) 363
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2247
60.8%
Other Letter 846
 
22.9%
Other Punctuation 602
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1194
53.1%
1 229
 
10.2%
8 119
 
5.3%
2 116
 
5.2%
7 114
 
5.1%
3 112
 
5.0%
6 99
 
4.4%
4 98
 
4.4%
9 86
 
3.8%
5 80
 
3.6%
Other Letter
ValueCountFrequency (%)
282
33.3%
282
33.3%
282
33.3%
Other Punctuation
ValueCountFrequency (%)
. 602
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2849
77.1%
Hangul 846
 
22.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1194
41.9%
. 602
21.1%
1 229
 
8.0%
8 119
 
4.2%
2 116
 
4.1%
7 114
 
4.0%
3 112
 
3.9%
6 99
 
3.5%
4 98
 
3.4%
9 86
 
3.0%
Hangul
ValueCountFrequency (%)
282
33.3%
282
33.3%
282
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2849
77.1%
Hangul 846
 
22.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1194
41.9%
. 602
21.1%
1 229
 
8.0%
8 119
 
4.2%
2 116
 
4.1%
7 114
 
4.0%
3 112
 
3.9%
6 99
 
3.5%
4 98
 
3.4%
9 86
 
3.0%
Hangul
ValueCountFrequency (%)
282
33.3%
282
33.3%
282
33.3%
Distinct117
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2024-04-17T07:10:07.824520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length1.976386
Min length1

Characters and Unicode

Total characters1925
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)5.3%

Sample

1st row6.0
2nd row5.3
3rd row6.3
4th row6.4
5th row6.9
ValueCountFrequency (%)
불검출 150
15.4%
6 113
11.6%
8 99
 
10.2%
7 87
 
8.9%
9 67
 
6.9%
10 67
 
6.9%
11 52
 
5.3%
5 31
 
3.2%
12 23
 
2.4%
13 22
 
2.3%
Other values (107) 263
27.0%
2024-04-17T07:10:08.129042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 320
16.6%
. 185
9.6%
6 174
9.0%
7 151
7.8%
150
7.8%
150
7.8%
150
7.8%
8 136
7.1%
9 110
 
5.7%
0 104
 
5.4%
Other values (4) 295
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1290
67.0%
Other Letter 450
 
23.4%
Other Punctuation 185
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 320
24.8%
6 174
13.5%
7 151
11.7%
8 136
10.5%
9 110
 
8.5%
0 104
 
8.1%
2 93
 
7.2%
5 82
 
6.4%
3 64
 
5.0%
4 56
 
4.3%
Other Letter
ValueCountFrequency (%)
150
33.3%
150
33.3%
150
33.3%
Other Punctuation
ValueCountFrequency (%)
. 185
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1475
76.6%
Hangul 450
 
23.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 320
21.7%
. 185
12.5%
6 174
11.8%
7 151
10.2%
8 136
9.2%
9 110
 
7.5%
0 104
 
7.1%
2 93
 
6.3%
5 82
 
5.6%
3 64
 
4.3%
Hangul
ValueCountFrequency (%)
150
33.3%
150
33.3%
150
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1475
76.6%
Hangul 450
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 320
21.7%
. 185
12.5%
6 174
11.8%
7 151
10.2%
8 136
9.2%
9 110
 
7.5%
0 104
 
7.1%
2 93
 
6.3%
5 82
 
5.6%
3 64
 
4.3%
Hangul
ValueCountFrequency (%)
150
33.3%
150
33.3%
150
33.3%

water43
Categorical

IMBALANCE 

Distinct32
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
898 
0.06
 
10
0.07
 
9
0.05
 
7
0.08
 
6
Other values (27)
 
44

Length

Max length5
Median length3
Mean length3.0903491
Min length3

Unique

Unique20 ?
Unique (%)2.1%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 898
92.2%
0.06 10
 
1.0%
0.07 9
 
0.9%
0.05 7
 
0.7%
0.08 6
 
0.6%
0.12 6
 
0.6%
0.1 5
 
0.5%
0.09 3
 
0.3%
0.004 3
 
0.3%
0.11 3
 
0.3%
Other values (22) 24
 
2.5%

Length

2024-04-17T07:10:08.243589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 898
92.2%
0.06 10
 
1.0%
0.07 9
 
0.9%
0.05 7
 
0.7%
0.08 6
 
0.6%
0.12 6
 
0.6%
0.1 5
 
0.5%
0.09 3
 
0.3%
0.004 3
 
0.3%
0.11 3
 
0.3%
Other values (22) 24
 
2.5%
Distinct83
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2024-04-17T07:10:08.428549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.2577002
Min length3

Characters and Unicode

Total characters3173
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)4.2%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출
ValueCountFrequency (%)
불검출 768
78.9%
0.11 10
 
1.0%
0.09 9
 
0.9%
0.006 8
 
0.8%
0.011 7
 
0.7%
0.12 7
 
0.7%
0.17 7
 
0.7%
0.15 7
 
0.7%
0.07 7
 
0.7%
0.1 6
 
0.6%
Other values (73) 138
 
14.2%
2024-04-17T07:10:08.763896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
768
24.2%
768
24.2%
768
24.2%
0 309
9.7%
. 206
 
6.5%
1 109
 
3.4%
3 40
 
1.3%
2 37
 
1.2%
9 34
 
1.1%
5 32
 
1.0%
Other values (4) 102
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2304
72.6%
Decimal Number 663
 
20.9%
Other Punctuation 206
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 309
46.6%
1 109
 
16.4%
3 40
 
6.0%
2 37
 
5.6%
9 34
 
5.1%
5 32
 
4.8%
6 30
 
4.5%
8 30
 
4.5%
7 25
 
3.8%
4 17
 
2.6%
Other Letter
ValueCountFrequency (%)
768
33.3%
768
33.3%
768
33.3%
Other Punctuation
ValueCountFrequency (%)
. 206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2304
72.6%
Common 869
 
27.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 309
35.6%
. 206
23.7%
1 109
 
12.5%
3 40
 
4.6%
2 37
 
4.3%
9 34
 
3.9%
5 32
 
3.7%
6 30
 
3.5%
8 30
 
3.5%
7 25
 
2.9%
Hangul
ValueCountFrequency (%)
768
33.3%
768
33.3%
768
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2304
72.6%
ASCII 869
 
27.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
768
33.3%
768
33.3%
768
33.3%
ASCII
ValueCountFrequency (%)
0 309
35.6%
. 206
23.7%
1 109
 
12.5%
3 40
 
4.6%
2 37
 
4.3%
9 34
 
3.9%
5 32
 
3.7%
6 30
 
3.5%
8 30
 
3.5%
7 25
 
2.9%

water45
Real number (ℝ)

Distinct256
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6924199
Minimum0.04
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2024-04-17T07:10:08.881161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.08
Q10.17
median0.32
Q30.8545
95-th percentile9
Maximum64
Range63.96
Interquartile range (IQR)0.6845

Descriptive statistics

Standard deviation3.8058947
Coefficient of variation (CV)2.2487887
Kurtosis83.638709
Mean1.6924199
Median Absolute Deviation (MAD)0.2
Skewness6.6772204
Sum1648.417
Variance14.484835
MonotonicityNot monotonic
2024-04-17T07:10:09.252714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.11 29
 
3.0%
0.13 28
 
2.9%
0.15 22
 
2.3%
5.0 22
 
2.3%
8.0 22
 
2.3%
0.07 20
 
2.1%
6.0 20
 
2.1%
0.14 20
 
2.1%
0.17 19
 
2.0%
0.12 18
 
1.8%
Other values (246) 754
77.4%
ValueCountFrequency (%)
0.04 1
 
0.1%
0.05 6
 
0.6%
0.06 14
1.4%
0.07 20
2.1%
0.08 16
1.6%
0.09 14
1.4%
0.097 2
 
0.2%
0.1 16
1.6%
0.105 1
 
0.1%
0.107 1
 
0.1%
ValueCountFrequency (%)
64.0 1
 
0.1%
38.0 1
 
0.1%
19.0 1
 
0.1%
18.0 1
 
0.1%
17.0 1
 
0.1%
16.0 2
 
0.2%
15.0 2
 
0.2%
14.0 2
 
0.2%
13.0 7
0.7%
12.0 6
0.6%

water46
Categorical

Distinct40
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
119 
6
107 
8
99 
9
88 
7
80 
Other values (35)
481 

Length

Max length4
Median length1
Mean length1.6529774
Min length1

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st row3
2nd row6
3rd row7
4th row9
5th row2

Common Values

ValueCountFrequency (%)
불검출 119
12.2%
6 107
11.0%
8 99
10.2%
9 88
9.0%
7 80
8.2%
10 78
8.0%
4 66
 
6.8%
5 56
 
5.7%
12 55
 
5.6%
11 51
 
5.2%
Other values (30) 175
18.0%

Length

2024-04-17T07:10:09.353021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 119
12.2%
6 107
11.0%
8 99
10.2%
9 88
9.0%
7 80
8.2%
10 78
8.0%
4 66
 
6.8%
5 56
 
5.7%
12 55
 
5.6%
11 51
 
5.2%
Other values (30) 175
18.0%

water47
Categorical

IMBALANCE 

Distinct39
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
불검출
766 
0.03
 
34
0.04
 
34
0.02
 
32
0.0001
 
22
Other values (34)
86 

Length

Max length6
Median length3
Mean length3.2802875
Min length1

Unique

Unique21 ?
Unique (%)2.2%

Sample

1st row불검출
2nd row불검출
3rd row불검출
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 766
78.6%
0.03 34
 
3.5%
0.04 34
 
3.5%
0.02 32
 
3.3%
0.0001 22
 
2.3%
0.06 12
 
1.2%
0.05 11
 
1.1%
0.08 10
 
1.0%
0.09 7
 
0.7%
0.07 6
 
0.6%
Other values (29) 40
 
4.1%

Length

2024-04-17T07:10:09.445297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 766
78.6%
0.04 34
 
3.5%
0.03 34
 
3.5%
0.02 32
 
3.3%
0.0001 22
 
2.3%
0.06 12
 
1.2%
0.05 11
 
1.1%
0.08 10
 
1.0%
0.09 7
 
0.7%
0.07 6
 
0.6%
Other values (29) 40
 
4.1%

last_load_dttm
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
Minimum2021-01-04 19:43:40
Maximum2021-01-04 19:43:40
2024-04-17T07:10:09.516079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:10:09.581901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

inspec_yyinspec_qtinspec_areainspec_pointresultwater01water02water03water04water05water06water07water08water09water10water11water12water13water14water15water16water17water18water19water20water21water22water23water24water25water26water27water28water29water30water31water32water33water34water35water36water37water38water39water40water41water42water43water44water45water46water47last_load_dttm
020142동구청조약수터부적합불검출1.80.3<NA>0검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출23없음없음불검출1불검출7.80.0136.0불검출불검출0.113불검출2021-01-04 19:43:40
120142동래구금강1적합불검출6.70.3<NA>0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출43없음없음불검출1불검출7.40.0165.3불검출불검출0.086불검출2021-01-04 19:43:40
220142동래구금강2적합불검출5.40.3<NA>0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출42없음없음불검출1불검출7.30.0136.3불검출불검출0.097불검출2021-01-04 19:43:40
320142동래구금병적합불검출0.90.3<NA>0불검출불검출불검출불검출0.16불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출32없음없음불검출1불검출7.4불검출6.4불검출불검출0.089불검출2021-01-04 19:43:40
420142동래구대덕사적합불검출1.00.3<NA>0불검출불검출불검출불검출0.21불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출63없음없음불검출1불검출8.00.0036.9불검출불검출0.072불검출2021-01-04 19:43:40
520142동구녹산약수터부적합불검출1.90.3<NA>16검출검출불검출불검출0.19불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출68없음없음불검출1불검출8.00.01010.1불검출불검출0.5180.022021-01-04 19:43:40
620142동구녹수약수터부적합불검출0.60.3<NA>12검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출12없음없음불검출1불검출7.50.0065.9불검출불검출0.119불검출2021-01-04 19:43:40
720142영도구모천부적합불검출2.70.3<NA>10검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.01불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출12없음없음불검출1불검출7.1불검출12.1불검출불검출0.2510불검출2021-01-04 19:43:40
820142영도구미륵암부적합불검출1.10.3<NA>18검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출20없음없음불검출1불검출6.50.0029.6불검출불검출0.1510불검출2021-01-04 19:43:40
920142영도구복천사부적합불검출1.70.3<NA>0검출불검출불검출불검출0.22불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출18없음없음불검출1불검출7.0불검출9.8불검출불검출0.218불검출2021-01-04 19:43:40
inspec_yyinspec_qtinspec_areainspec_pointresultwater01water02water03water04water05water06water07water08water09water10water11water12water13water14water15water16water17water18water19water20water21water22water23water24water25water26water27water28water29water30water31water32water33water34water35water36water37water38water39water40water41water42water43water44water45water46water47last_load_dttm
96420201해운대구장산적합0불검출불검출불검출불검출1.40.3불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출16없음불검출1불검출60.0037.8불검출불검출0.388.00.02불검출2021-01-04 19:43:40
96520201해운대구장산산림욕장적합0불검출불검출불검출불검출10.3불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출13없음불검출1불검출6.70.0037.7불검출불검출0.526.00.04불검출2021-01-04 19:43:40
96620201해운대구장산제일적합0불검출불검출불검출불검출0.90.3불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출21없음불검출1불검출7불검출7.8불검출불검출0.374.00.02불검출2021-01-04 19:43:40
96720201해운대구장천사적합0불검출불검출불검출불검출1.20.3불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출25없음불검출1불검출6불검출8불검출불검출0.318.00.02불검출2021-01-04 19:43:40
96820201해운대구체육공원(우2동)적합0불검출불검출불검출불검출4.90.3불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출86없음0.0311불검출6.30.0718.4불검출불검출0.0515.0불검출불검출2021-01-04 19:43:40
96920201영도구모천적합1불검출불검출불검출불검출20.3불검출불검출불검출불검출불검출불검출불검출불검출0.01불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출26없음불검출1불검출6.50.00210.9불검출불검출0.319.00.02불검출2021-01-04 19:43:40
97020201영도구미륵암적합41불검출불검출불검출불검출0.90.3불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출16없음불검출1불검출6.2불검출10.3불검출불검출0.310.0불검출불검출2021-01-04 19:43:40
97120201해운대구초록공원 위부적합26검출불검출불검출불검출1.70.3불검출0.22불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출39없음불검출1불검출5.70.00710.7불검출불검출0.36.0불검출0.00012021-01-04 19:43:40
97220201해운대구체육공원내(재송2동)부적합30검출불검출불검출불검출10.6불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출21없음불검출1불검출7불검출8.3불검출불검출0.895.00.060.00012021-01-04 19:43:40
97320201해운대구초록공원적합0불검출불검출불검출불검출1.40.3불검출0.27불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출56없음불검출1불검출6.70.00510.1불검출불검출0.0810.0불검출0.00042021-01-04 19:43:40

Duplicate rows

Most frequently occurring

inspec_yyinspec_qtinspec_areainspec_pointresultwater01water02water03water04water05water06water07water08water09water10water11water12water13water14water15water16water17water18water19water20water21water22water23water24water25water26water27water28water29water30water31water32water33water34water35water36water37water38water39water40water41water42water43water44water45water46water47last_load_dttm# duplicates
020142해운대구체육공원내약수터부적합불검출0.50.6<NA>7불검출불검출불검출불검출0.31불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출13없음없음0.0101불검출8.1불검출9.0불검출불검출2.1140.072021-01-04 19:43:402
120142해운대구체육공원약수터적합불검출3.40.3<NA>33불검출불검출불검출불검출0.40불검출불검출불검출불검출불검출불검출0.02불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출71없음없음0.1351불검출8.3불검출14.7불검출불검출0.0614불검출2021-01-04 19:43:402